Wendy Dawn Cornell

Title: Wendy Dawn Cornell: Innovator in Structure-Based Activity Prediction

Introduction

Wendy Dawn Cornell is a notable inventor based in Warren, NJ (US). She has made significant contributions to the field of molecular docking and activity prediction through her innovative patent. Her work focuses on enhancing the accuracy of predicting ligand activity using advanced machine learning techniques.

Latest Patents

Wendy holds a patent for a system and method titled "Structure-based, ligand activity prediction using binding mode prediction information." This invention involves generating binding scores between ligands and target molecules, such as proteins, RNA, DNA, lipids, and sugars, using molecular docking. A first machine learned deep neural network (DNN) model is developed to predict binding modes based on the 3D structures and docking features of molecular ligand-target pairs. The invention further employs transfer learning to improve the performance of a second machine learned DNN model, which enhances activity prediction accuracy for newly paired ligand-target complexes.

Career Highlights

Wendy is currently associated with International Business Machines Corporation (IBM), where she continues to push the boundaries of innovation in her field. Her work has garnered attention for its potential applications in drug discovery and molecular biology.

Collaborations

Wendy collaborates with esteemed colleagues, including Joseph Anthony Morrone and Jeffrey Kurt Weber, who contribute to her research and development efforts.

Conclusion

Wendy Dawn Cornell's innovative work in structure-based activity prediction exemplifies the intersection of technology and biology. Her contributions are paving the way for advancements in molecular docking and activity prediction methodologies.